By using a computer vision technique for inferring the cognitive availability of the operator we avoid intrusive methods such as biometric sensors (e.g. EEG) and the use of cumbersome apparatus. Our aim is to keep the approach generalizable and versatile. The latest head pose estimation techniques are robust in real time use and do not require specialized image capturing equipment [1]}, [2]}, contrary to most state-of-the-art gaze tracking implementations (e.g. [3]}). We chose head pose estimation over gaze tracking preferring perception of more pronounced natural cues.
